Four agents that consult, assess, plan, and execute — as one pipeline.
Map the operation. Score readiness across 6 dimensions. Rank interventions by financial contribution. Ship governed migrations with audit trails and measurable outcomes.
Maps workflows, interviews teams, and surfaces root causes in 3–5 days. Hands off structured evidence to the next agent automatically.
Picks up where consulting left off. Scores readiness across 6 dimensions, models ROI with Newton-Raphson IRR, and generates the IC memo.
Ingests assessment output. Ranks every intervention by projected financial contribution across conservative, base, and aggressive scenarios.
Receives the ranked plan and ships governed execution — skills, MCP connectors, approval gates — with outcomes feeding back to the pipeline.
Don't Bolt AI
Onto Old
Workflows
The gap is widening between teams that redesign processes for AI agents and those that just layer AI on top.
- 01
Design for agents from scratch
There's a fundamental difference between applying AI agents to an existing process and designing a process from the ground up for AI agents. The teams that do the latter will pull far ahead.
- 02
Workflows must be redesigned
It would be ideal if all the gains came for free — but AI has clear constraints (like getting context right) and clear upsides (like executing code and running in parallel). Workflows must be rebuilt to exploit both.
- 03
Agents are expert engineers for your business
Agents that can write code, run it, and interact with any API are effectively expert engineers applied to your business process — deployed at scale, around the clock.
- 04
Imagine infinite capable engineers
What compounds is not one heroic prompt. It is reusable skills, tool mappings, and execution patterns that carry from one company to the next. Our pipeline turns each engagement into reusable leverage.
- 05
Measurement closes the loop
Assessment without execution is theater. Execution without measurement is guesswork. MigrateForce keeps projected value, intervention plans, and realized outcomes in one operating system.
Design for Agents
From Scratch
There's a fundamental difference between taking an existing process and applying AI agents to it vs. designing a process from the ground up for AI agents.
The gap will widen between teams that redesign for agents and those that just bolt AI on top.
Workflows Must
Be Rebuilt
AI has clear constraints — like getting context right — and clear upsides — like executing code and running in parallel. You can't capture those gains without rethinking the workflow itself.
Your Systems
Can't Talk
to Agents
AI agents are only as useful as the systems they can reach. The real bottleneck is structured access, workflow context, and governed execution. MigrateForce solves those constraints with a four-agent pipeline.
Legacy SaaS
Agents can't read your data, trigger your workflows, or bypass your seat licenses
Legacy APIs
No semantic descriptions for agents, no tool definitions, no structured I/O
Legacy Data
Agents need vector-ready, RAG-indexed data — not raw database tables
Custom Apps
Business logic locked in UIs that agents can't access or automate
One Platform.
Every System Agent-Ready.
SaaS
Our agents extract your data, workflows, and business logic — autonomously.
APIs
Migration Agent converts APIs to agent-consumable tools with semantic descriptions.
Data
Agents build RAG pipelines, vector stores, and knowledge bases from any source.
Apps
Extract business logic and recompose as agent-orchestrated workflows.
The 4-Agent
Execution Pipeline
Consulting Agent maps the operation. Assessment Agent scores readiness. Value Creation Agent prioritizes interventions. Migration Agent executes the work with approvals, audit trails, and outcome tracking.
Consult
Consulting Agent maps workflows, interviews teams, and surfaces root causes in 3-5 days
Assess
Assessment Agent scores readiness across 6 dimensions and models ROI in 20 minutes
Plan
Value Creation Agent turns assessment output into a ranked intervention plan
Execute
Migration Agent ships governed execution with skills, MCP, and approval gates
Consulting Agent
What's happening
- 3-5 day discovery with role-aware interview packs
- Workflow maps, contradictions, handoffs, and root causes
- Draft recommendations pending human validation
- Turns qualitative evidence into an executable operating map
Assessment Agent
What's possible
- 8 scoring engines incl. Newton-Raphson IRR on DCF
- 6-dimension readiness scoring, 19 industries, 71 segments
- Conservative/Base/Aggressive scenarios with S-curve ramps
- Full audit trail with formula-level scoring rationale
Value Creation Agent
What to do about it
- Connects operating metrics to specific AI interventions
- Ranks levers by financial contribution, not opinion
- Builds a dynamic value creation plan instead of static slides
- Tracks projected vs. actual outcomes over time
Migration Agent
Do it
- Skills + MCP execution with approvals and rollback
- OpenAPI parsing and production-ready connector generation
- Framework-agnostic export to LangGraph, CrewAI, or AutoGen
- Audit trails and outcome events feed back into the plan
Auditable Methodology.
Replicable Across Portfolio.
Run Your First
Assessment.
5 Minutes.
The Assessment Agent scores your systems across 6 dimensions, projects EBITDA impact with Conservative/Base/Aggressive scenarios, and generates an investment memo. Free during beta. No sales call.